BerriAI / litellm
github.com·3d ago
Developer Tools
Databricks Blog·Sep 3·5 min read
Building High-Quality and Trusted Data Products with Databricks
TL;DR
Organizations can enhance their AI and data-driven initiatives by building high-quality data products using Databricks, focusing on data as a product and establishing trustworthiness. This approach democratizes data ownership and management, ensuring timely access to reliable data.
✦ Why It Matters
Start appointing data product owners today to enhance data quality and usability in your organization.
Key Takeaways
- Appoint dedicated data product owners for accountability.
- Establish clear data contracts with quality metrics and usage policies.
- Utilize Delta Live Tables for built-in data quality controls.
- Implement a feedback loop to continuously improve data products.
How It Works
Data products are managed by data product owners who bridge business and technical needs. They establish data contracts that define quality metrics and usage policies, ensuring alignment between data producers and consumers.
Delta Live Tables are used to implement quality controls directly in the data pipeline, validating data at each stage.